Qiang Xu

Dr. Qiang Xu has been Senior Lecturer in Mechanical/Automotive Engineering at the School of Computing and Engineering, since June 2013 to present. He is a specialist in computational creep damage mechanics. Previously, Dr Xu was Senior Lecturer in Mechanical/Manufacturing Engineering in the School of Science and Engineering at Teesside University from 2006 to 2013. In this role, Dr Xu supervised a number of PhD research projects and completed over 15 consultancy and grant applications. In addition he has held academic appointments at the Swansea Institute of Higher Education and as a Research Fellow and Senior Research Fellow at the University of Huddersfield and Research Associate at UMIST, Manchester, UK. Dr Xu’s research work mainly on the computational modelling and analysis for engineering and his work has been cited worldwide by researchers in eight nations including China, the USA, Germany, India, Iran, Russia et al. Further information can be found at University website: https://www.hud.ac.uk/ourstaff/profile/index.php?staffid=1212

Publications

An Overview on Bioinformatics
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. © 2024. 56 pages.
This chapter presents a thorough background and deep literature review of the current topic of study. It also presents and defines the key concepts utilised throughout this...
Importance of Information Working With Colon Cancer Research
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. © 2024. 6 pages.
Modern science helps us to understand the changing world around us, across fields such as biology, computer science, mathematics, statistics, chemistry, computational biology...
Machine Learning in Cancer Research With Applications in Colon Cancer and Big Data Analysis
Zhongyu Lu, Qiang Xu, Murad Al-Rajab, Lamogha Chiazor. © 2021. 263 pages.
Cancer continues to be a growing problem as it is the foremost cause of death worldwide, killing millions of people each year. The number of people battling cancer continues to...
Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts
Joan Lu, Qiang Xu. © 2017. 425 pages.
Across numerous industries in modern society, there is a constant need to gather precise and relevant data efficiently and quickly. As such, it is imperative to research new...
Spatial Databases: An Overview
Grace L. Samson, Joan Lu, Mistura M. Usman, Qiang Xu. © 2017. 39 pages.
Spatial databases maintain space information which is appropriate for applications where there is need to monitor the position of an object or event over space. Spatial databases...